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How should an AI adapt to changes by detecting novelties, learning from them, and seek for help from human when needed?
Projects
Projects
Collaboration with GTRI.
Paper Accepted by RLC 2024 Workshop.
Safe Online Learning and Adaptation
Safe Online Learning and Adaptation
How should an AI learn how to find "Point of Interest" in a changing environment so that it can learn to actively explore them and best improve its knowledge and adapt to the changes?
Jonathan Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia Kim, Mark Riedl
Available on Arxiv
A symbolic world model that helps neural model to learn better by imagining the future!
Jonathan Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia Kim, Mark Riedl
Oral at AAAI 2022 Spring Symposium Series
Novgrid makes studying novelties modular and streamlined!
Zhiyu Lin, Brent Harrison, Aaron Keech, Mark O Riedl
Available on Arxiv
This Reinforcement Learning agent knows both how to learn from rewards and seek for human feedback - only when needed!
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